Xuebo Liu
71 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
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Conferences
ACL (28)
EMNLP (21)
AAAI (4)
CVPR (4)
IJCNLP (4)
COLING (3)
ICLR (3)
ECCV (2)
NIPS (2)
Top co-authors
Keywords
large language model
(26)
neural machine translation
(12)
machine translation
(11)
instruction tuning
(7)
domain adaptation
(5)
knowledge distillation
(5)
model compression
(5)
representation learning
(4)
multi-agent system
(4)
retrieval-augmented generation
(4)
transfer learning
(3)
low-resource language
(3)
machine translation evaluation
(3)
grammatical error correction
(3)
in-context learning
(3)
curriculum learning
(3)
neural network optimization
(2)
k-nearest neighbor
(2)
metric learning
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object detection
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Papers
DeReA: Improving Idiom Translation with Detect-Retrieve-Arbitrate Reasoning
ACL 2026
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
AAAI 2026
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
EMNLP 2025
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
EMNLP 2025
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models
EMNLP 2025
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
EMNLP 2025
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
EMNLP 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
EMNLP 2025
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
AAAI 2025
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
ICLR 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
ACL 2025
UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation
ACL 2025
APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training
ACL 2025
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore
COLING 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
EMNLP 2025
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
COLING 2024
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
ACL 2024
TasTe: Teaching Large Language Models to Translate through Self-Reflection
ACL 2024
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
ACL 2024
Revisiting Demonstration Selection Strategies in In-Context Learning
ACL 2024
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner
EMNLP 2024
Curriculum Consistency Learning for Conditional Sentence Generation
EMNLP 2024
Self-Powered LLM Modality Expansion for Large Speech-Text Models
EMNLP 2024
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
EMNLP 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
ACL 2024
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation
ACL 2024
Towards Demonstration-Aware Large Language Models for Machine Translation
ACL 2024
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm
ACL 2024
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
CVPR 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
NIPS 2024
Pluggable Neural Machine Translation Models via Memory-augmented Adapters
COLING 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
NIPS 2024
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge
ACL 2023
Improving Simultaneous Machine Translation with Monolingual Data
AAAI 2023
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization
ACL 2023
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation
ACL 2023
TemplateGEC: Improving Grammatical Error Correction with Detection Template
ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
ACL 2023
TransGEC: Improving Grammatical Error Correction with Translationese
ACL 2023
PromptST: Abstract Prompt Learning for End-to-End Speech Translation
EMNLP 2023
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
EMNLP 2023
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization
EMNLP 2023
Towards Making the Most of ChatGPT for Machine Translation
EMNLP 2023
Revisiting Grammatical Error Correction Evaluation and Beyond
EMNLP 2022
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
EMNLP 2022
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation
ACL 2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
EMNLP 2022
Progressive Multi-Granularity Training for Non-Autoregressive Translation
IJCNLP 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
AAAI 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
EMNLP 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
ACL 2021
Difficulty-Aware Machine Translation Evaluation
ACL 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
ACL 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
ICLR 2021
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
ICLR 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
IJCNLP 2021
Difficulty-Aware Machine Translation Evaluation
IJCNLP 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
IJCNLP 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
ACL 2021
PolarMask: Single Shot Instance Segmentation With Polar Representation
CVPR 2020
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
ECCV 2020
Norm-Based Curriculum Learning for Neural Machine Translation
ACL 2020
DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding
EMNLP 2020
Scene Text Image Super-resolution in the wild
ECCV 2020
R3 Adversarial Network for Cross Model Face Recognition
CVPR 2019
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
ACL 2019
FOTS: Fast Oriented Text Spotting With a Unified Network
CVPR 2018